Design and experiment of the environment control system for the industrialized production of Agaricus bisporus
Keywords:
environment control system, Agaricus bisporus, industrialized production, vertical agriculture, fuzzy controller, design, experimentAbstract
Environment parameters are the main factors affecting the growth and development of Agaricus bisporus. Because of the requirements of environmental conditions for high-efficiency industrialized production of Agaricus bisporus, equipments for environment control were developed. Based on the variable operating equipment, a multi-factor fuzzy controller was designed to realize the comprehensive control of ambient temperature, humidity, CO2 concentration, and the temperature and moisture of the compost. The test results showed that the temperature control error was less than ±0.5°C and the response speed was more than 0.5°C/h; The control error of ambient humidity was less than ±2% RH, and the response speed was more than 9% RH per hour; The moistures at different points in compost ranged from 50% to 70% with a standard deviation of 4.04. The control accuracy of environmental CO2 concentration was within 200 µmol/mol. The overall performance of the control system was stable and reliable, which could meet the requirements of environment factors for the growth of Agaricus bisporus. The system can provide technical support and reference for the automatic and precise control of the environment during the industrialized production of Agaricus bisporus. Keywords: environment control system, Agaricus bisporus, industrialized production, vertical agriculture, fuzzy controller, design, experiment DOI: 10.25165/j.ijabe.20211401.5635 Citation: Zhao K X, Zhu X F, Ma H, Ji J T, Jin X, Sun J W. Design and experiment of the environment control system for the industrialized production of Agaricus bisporus. Int J Agric & Biol Eng, 2021; 14(1): 97–107.References
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[2] Geng Y C, Zhang T, Liu H B, Zhai L M, Yang B, Wang H Y. Effects of different briquetting modes on production of Agaricus bisporus. Transactions of the CSAE, 2016; 32(S2): 275–278. (in Chinese)
[3] Reis F S, Barros L, Martins A, Ferreira I C F R. Chemical composition and nutritional value of the most widely appreciated cultivated mushrooms: An inter-species comparative study. Food & Chemical Toxicology, 2012; 50(2): 191–197.
[4] Colmenares-Cruz S, Sanchez J E, Valle-Mora J. Agaricus bisporus production on substrates pasteurized by self-heating. Amb Express, 2017; 7(1): 1–9.
[5] Kimatu B M, Zhao L Y, Biao Y, Ma G X, Yang W J, Pei F, et al. Antioxidant potential of edible mushroom (Agaricus bisporus) protein hydrolysates and their ultrafiltration fractions. Food Chemistry, 2017; 230(SEP.1): 58–67.
[6] Dai F, Yang J, Zhao W Y, Li Z G, Xin S L, Zhang F W. Design and experiment of key assorted device based on factory production of Agaricus bisporus. Transactions of the CSAE, 2018; 34(6): 43–51. (in Chinese)
[7] Shamshiri R R, Kalantari F, Ting K C, Thorp K R, Hameed I A, Weltzien C, et al. Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture. Int J Agric & Biol Eng, 2018; 11(1): 1–22.
[8] Mohd S A M, Salinda B, Musa M M, Mohamad S Z A. Internet of things based smart environmental monitoring for mushroom cultivation. Indonesian Journal of Electrical Engineering and Computer Science, 2018; 10(3): 847–852.
[9] Takakura T. Research exploring greenhouse environment control over the last 50 years. Int J Agric & Biol Eng, 2019; 12(5): 1–7.
[10] Mao H P, Jin C, Chen Y. Research progress and prospect on control methods of greenhouse environment. Transactions of the CSAM, 2018; 49(2): 1–13. (in Chinese)
[11] Du S F, Li Y X, Ma C W, Chen Q Y, Yang W Z. Current situation on greenhouse environment control system modes in China. Transactions of the CSAE, 2004; 20(1): 7–12. (in Chinese)
[12] Mohammed M F, Azmi A, Zakaria Z, Tajuddin M F N, Isa Z M, Azmi S A. IoT based monitoring and environment control system for indoor cultivation of oyster mushroom. Journal of Physics: Conference Series, 2018; 1019: 1–8.
[13] Dai J F, Luo W H, Qiao X J, Wang C. Model-based decision support system for greenhouse heating temperature set point optimization. Transactions of the CSAE, 2014; 45(4): 236–243. (in Chinese)
[14] Li T, Ji Y H, Zhang M, Sha S, Jiang Y Q. Tomato photosynthetic rate prediction models under interaction of CO2 enrichments and soil moistures. Transactions of the CSAM, 2015; 46(S1): 208–214. (in Chinese)
[15] Walker J N. Predicting temperatures in ventilated greenhouses. Transactions of the ASAE, 1965; 8(3): 445–448.
[16] Wang S J, Deltour J. Simulation of the application of different control methods to the greenhouse heating system. Journal of Zhejiang Agricultural University, 1992; 18: 738–743.
[17] Uaink T C A J, Bot G P J, Dixhoorn J J. Computer control of greenhouse climates. Acta Horticulturae, 1978; 87: 265–272.
[18] Jones J W, Dayan E, Allen L H. A dynamic tomato growth and yield model (TOMGRO). Transactions of the ASAE, 1991; 34(2): 663–672.
[19] Van H E J. Greenhouse climate management: an optimal control approach. PhD dissertation. Wageningen: Wageningen Agricultural University, 1994; 329p.
[20] Takayama K, Nishina H, Mizutani K. Chlorophyll fluorescence imaging for health condition monitoring of tomato plants in greenhouse. Acta Hort, 2011; 893: 333–339.
[21] Chen L J, Du S F, He Y F, Liang M H. Design and simulation of greenhouse temperature hierarchical control system. Transactions of Beijing Institute of Technology, 2018; 38(8): 835–840. (in Chinese)
[22] Li Y X, Du S F. Advances of intelligent control algorithm of greenhouse environment in China. Transactions of the CSAE, 2004; 20(2): 267–272. (in Chinese)
[23] Feng L F. Research on modern edible fungi growth control system based on internet of things technology. Master dissertation. Zhengzhou: North China University of Water Resources and Electric Power, 2018; 56p. (in Chinese)
[24] Han Q H, Li S J, Zhang Y C, Mao Z H, Wu H, Bai L F. Remote monitoring system of edible fungus industrial cultivation environment. Transactions of the CSAM, 2007; 38(2): 115–119. (in Chinese)
[25] Kwon J K, Kim S H, Jeon J G, Kang Y K, Jang K Y. Development of environmental control system for high-quality shiitake mushroom (Lentinus edodes (Berk.) Sing.) Production. Journal of Biosystems Engineering, 2018; 43(4): 342–351.
[26] Song C. Design and realization of the monitoring system of edible fungi factory production. Master dissertation. Taian: Shandong Agricultural University, 2015; 66p. (in Chinese)
[27] Ardabili S F, Mahmoudi A, Gundoshmian T M, Roshanianfard A. Modeling and comparison of fuzzy and on/off controller in a mushroom growing hall. Measurement, 2016; 90: 127–134.
[28] Zheng Z Q, Luo X. Effect of temperature and humidity control on ecological high yield cultivation effect of edible fungi. Edible Fungi of China, 2019; 38(8): 21–24. (in Chinese)
[29] Bian Y B. Edible mushroom cultivation. Beijing: Higher Education Press, 2017; 338p. ISBN: 9787040466508.
[30] Arjuna M, Soh Y Y. Environmental monitoring and controlling system for mushrooom farm with online interface. International Journal of Computer Science & Information Technology, 2017; 9(4): 17–28.
[31] Zadeh L A. Toward a generalized theory of uncertainty (GTU)––an outline. Information Sciences, 2005; 172(1): 1–40.
[32] Jin X, Cheng K K, Ji J T, Zhao K X, Du X W, Ma H. Intelligent vibration detection and control system of agricultural machinery engine. Measurement, 2019; 145: 503–510.
[33] Jin X, Yuan Y W, Ji J T, Zhao K X, Li M Y, Chen K K. Design and implementation of anti-leakage planting system for transplanting machine based on fuzzy information. Computers and Electronics in Agriculture, 2020; 169: 105204. doi: 10.1016/j.compag.2019.105204.
[34] Salgado P, Cunha J B. Greenhouse climate hierarchical fuzzy modelling. Control Engineering Practice, 2005; 13(5): 613–628.
[35] Castañeda-Miranda R, Ventura-Ramos E, Peniche-Vera R D R, Herrera-Ruiz G. Fuzzy greenhouse climate control system based on a field Programmable Gate Array. Biosystems Engineering, 2006; 94(2): 165–177.
[36] Ai H B, Wei J H, Qiu Q, Zheng W G. Design of intelligent control system for micro plant factory. Transactions of the CSAM, 2013; 44(S2): 198–204. (in Chinese)
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Published
2021-02-10
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Zhao, K., Zhu, X., Ma, H., Ji, J., Jin, X., & Sun, J. (2021). Design and experiment of the environment control system for the industrialized production of Agaricus bisporus. International Journal of Agricultural and Biological Engineering, 14(1), 97–107. Retrieved from https://ijabe.migration.pkpps03.publicknowledgeproject.org/index.php/ijabe/article/view/5635
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Animal, Plant and Facility Systems
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